Bio containment presents a unique challenge for auscultation. With the Centers for Disease Control calling for personal protective equipment (PPE) in treating patients for the coronavirus, how does the clinician place stethoscope eartips in the ears for listening? Auscultation at the bedside using a conventional style stethoscope with tubing becomes impossible.
Experienced respiratory therapists can identify different types of asynchrony if they continuously monitor the waveform on a ventilator display screen indicating the pressure and flow. But in an ICU, one respiratory therapist typically oversees 10 or more patients and can’t possibly monitor all of them constantly.
Precision Critical Care for Each Person by using Neural network that learned Lungs operation of each Person. AI Provide Moment-by-Moment Nursing for a Hospital’s Sickest Patients by providing required volume of air ( with correct percentage of O2 ) and also required Pressure.
Aim is to develop a non-invasive method of classifying respiratory sounds that are recorded by an electronic stethoscope and the audio recording. Diagnosis or classification requires recognizing patterns. But most of the time, it is very hard to spot these patterns, especially if the data is very large. Data collected from the environment is usually non-linear, so we cannot use traditional methods to find patterns or create mathematical models. In the past decade, various technologies, such as expert systems, have been used to attempt to solve this problem. However, for critical systems, the error rate for the decision was too high.